similar to: zoo timeserie continuous? complete with NaN

Hi there I have an interesting problem: My csv file is of array dimensions [12,50], but it was saved the wrong way: there should be only 11 colums. What happens now if I read it into R is that the whole data set is shifted ( in the first row, the last column contains already the first value of the supposed second row and so on...) how can I tell R to switch after 11 read values to the next row,

hej there I want to invert the yaxis as follows: x<-rnorm(1:50) plot(x^2, type="h", ylim=c(0,10)) plot(x^2, type="h", ylim=c(10,0)) then doing the following it won't work - kind of strange isn't it? x.zoo<-zoo(x^2) plot(x.zoo, type="h", ylim=c(10,0)) plot(x.zoo, type="h", ylim=c(0,10)) how can I invert the axis with zoo objects? Marc --

Dear R Users and maintainers of packages zoo and timeSeries, I believe there is a recently introduced inconsistency between timeSeries and zoo which is causing a problem with rbind. I had previously reported that I was having problems with rbind in the following code: library(zoo) foo<-zoo(1,order.by=as.Date("2007-10-09")) bar<-zoo(2,order.by=as.Date("2007-10-10"))

When I try to convert the zoo object to a timeSeries object, which would allow me to utilize Rmetrics packages, I get an error message. > Data<-read.zoo("c:\\DOWUBSPRICING.txt,na.strings="NA",sep="\t",header=T) > is(Data) "zoo" > as.timeSeries.zoo(Data) Error in .local (.Object, . ) Is this happening because I am using daily data?

Hello R, According to: g <- expand.grid(x = 1:10, y = 5:15, gr = 1:2) g$z <- log((g$x^g$g + g$y^2) * g$gr) wireframe(z ~ x * y, data = g, groups = gr, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE, screen = list(z = 30, x = -60)) i have two wireframes in one plot. How could i change the color of the top - one to transparent (or only the grid).

Hello R For expierienced user, the following problem will be easy to solve: a<-c(0,1,0,1,0,2,3,4,3,2) b<-c(3,3,3,4,4,4,7,7,7,10) c<-data.frame(a,b) Data Frame c contains tow colums. I would like to sum up all values in a as long as b stays the same: sum(a[which(b==1)]) does this, but i have to manually put in b then i tryied st like this, but i canno't save it properly for (i

Dear R Helpers, Currently I'm working with the ts package of R and created a TimeSerie from pixels extracted from satellite imagery(S10 NDVI data, 10 daily composites). I'm trying to decompose this signal in different signals (seasonal and trend). When testing out the STL method is says => Only univariate timeseries are allowed, but the current Timeserie I'm using is univariate!

Hello Let's say I have a multivariate zoo timeseries (synchronised automatic loggers at different places): library(zoo) library(lattice) library(latticeExtra) x<-zoo(data.frame(a=rnorm(100), c=rnorm(100), b=rnorm(100)), seq(from=as.Date("2010-01-01"), by="day", length.out=100)) and a dataframe with manual control points at variable dates:

Dear all I try to print 9 plots on a page, arranged as the code shows below. nf <- layout(matrix(c(1,0,2,0,0,3,0,4,0,5,0,6,0,0,0,0,7,0,8,9), 10,2)) layout.show(nf) but when I try to plot, an error message Fehler in plot.new() : Grafikr?nder zu gro? appears to verify p.e. with plot(runif(10:1)) i tried with plot(runif(10:1), ann=F) to produce more space, but neither. The second

Greetings -- I've got some sensor data of the form t1_1, t1_2 t2_1, t2_2 ... tN_1,tN_2 -- time intervals measuring starts and stops of sensor activity. I'd like to see whether there's any regularity in it. Seems natural to consider these data timeseries -- except most of the timeseries packages and models assume regular ones, with a fixed frequency. I wonder what's a

I have a timeseries object, ts, and want to get the first date in the series into a string so I can concatenate it with a SQL query. Input and output are shown below. I must be missing something very basic, but I can't seem to pry the data ("2008-07-01") into a string variable. Any suggestions would be appreciated. Thank you, Andrew =====script: class(ts) (ts[1,0]) #returns

I?m wondering which is the most efficient (time, than memory usage) way to obtain a multivariate time series object from a data frame (the easiest data structure to get data from a database trough RODBC). I have a starting point using timeSeries or xts library (these libraries can handle time zones), below you can find code to test. Merging parallelization (cbind) is something I?m thinking at

Hi R users: When I try to merge or bind (cbind or rbind) two series, both with a "FinCenter" different that GMT, the result is "GMT" not the original financial center? What am I doing wrong? ###################################################### require(timeSeries) getRmetricsOptions("myFinCenter") setRmetricsOptions(myFinCenter = "America/Bogota")

i have time series of momentum signal. I want to get the date of each of the "-1" signal period. for example , the first period of -1 signal begins on 2005-9-21 and ends on 2005-9-28. 2nd period of -1 signal begins on 2005-09-30 and ends on 2005-10-28. Thx Cameron date Px 200MA Signals 2005-09-15 26.27 25.83865 1 2005-09-16 26.07 25.83275 1

I have defined a daily timeseries for the 365 days of 2003 issuing: myts = ts(dati[,2:10],frequency=365,) > myts Time Series: Start = c(1, 1) End = c(1, 365) Frequency = 365 and mytime = as.POSIXct(strptime(as.character(dati[,1]),format="%Y-%m-%d")) contains the dates from "2003-01-01" to "2003-12-31" How can I combine mytime and myts in order to list

Hello there, I am trying to compute the 3 months return momentum with the timeSeries x.ts, which is just a subset of simple returns from a much bigger series, > class(x.ts) [1] "timeSeries" attr(,"package") [1] "timeSeries" > dim(x.ts) [1] 20 3 > x.ts[1:8,] GMT MS.US AAPL.US CA.FP 1996-01-31 0.15159065 -0.133391894

Does anyone know why the following code hangs on the do.call, but works fine when I either comment out the require(timeSeries) or only do 2 levels of a for loop instead of 3? Thanks, Andrew Bierbryer require(timeSeries) num <- 1 x.list <- list() for ( i in 1:10 ) { for ( j in 1:20 ) { for ( k in 1:30 ) { x.list[[num]] <- cbind(num,10)

Hi, I'm new to R and tried a search but couldn't find what I was looking for. I have some data as a csv file with columns:- longditude latitude year month rainfall region What I need to do is produce a monthly time series for each region, where region is an integer id and where each time point in the series is the monthly average of rainfall for each location in that region. Basically

Hi, I have a csv file with different datatypes: 2009-01-01, character1, 10, 20.1 2009-01-02, character2, 11, 21.1 (I have attached the file to this post) I read this file with read.zoo as I want a zoo/xts timeseries: > t = read.zoo("./data.txt", sep=",", dec = ".", header=FALSE) If I look at the zoo data all integer/numeric columns are read as character: >

When I import the library timeSeries I get (at least) the variable USDCHF imported too. I would like to delete it, but I cannot. As you can see below. Clearly I am doing something wrong. What is it? > library(timeSeries) Loading required package: timeDate > class(USDCHF) [1] "timeSeries" attr(,"package") [1] "timeSeries" > rm(list=c("USDCHF"))